SARATHI: Decoupled Data-Free Probing and Adaptive Reconstruction for Structured LLM Pruning.

arXiv:2610.15514v1 Announce Type: cross Abstract: Structured pruning reduces the inference cost of large language models (LLMs) by permanently removing neurons and weight rows, yielding dense, hardware-agnostic speedup. Existing post-training methods couple ne